/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Copyright (c) 2019, Open AI Lab
 * Author: haitao@openailab.com
 */

#ifndef __KERNEL_REGISTRY_HPP__
#define __KERNEL_REGISTRY_HPP__

#include <unordered_map>

namespace TEngine {

template <typename T>
class KernelRegistry {
public:
    bool Register(const T& t, int layout, int data_type)
    {
          int idx=get_idx(layout,data_type);

          if(map.count(idx))
               return false;

          map[idx]=t;
          return true;
    }    

    bool GetKernel(T& t, int layout, int data_type)
    {
         int idx=get_idx(layout,data_type);

         if(map.count(idx)==0)
              return false;

         t=map[idx];

         return true;
    }

private:
   int  get_idx(int layout, int data_type) { return (layout<<8)|(data_type);}
   
   
   std::unordered_map<int,T> map;

};



} //namespace TEngine

#endif
